| Presentation | 1999/5/27 A Study of Bayesian Clustering of Document Set Based on GA Keiko AOKI, Kazunori MATSUMOTO, Keiichiro HOASHI, Kazuo HASHIMOTO, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In order to reduce an amount of calculation in Bayesian Clustering of a document set, we introduce an algorithm to decide a semi-optimal cluster by Genetic Algorithm(GA), whose genes encode cluster structures. The proposed method estimates candidate genes using entropy as fitness function. The paper examines the values of fitness function for a variety of parameter sets to confirm the effectiveness of GA. We also describe how much reduction of calculation is obtained by cashing results of comparison between nodes. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Bayesian Clustering / Genetic Algorithm / Optimization / Entropy |
| Paper # | AI99-8 |
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| Conference Information | |
| Committee | AI |
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| Conference Date | 1999/5/27(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | |
| Vice Chair | |
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| Paper Information | |
| Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study of Bayesian Clustering of Document Set Based on GA |
| Sub Title (in English) | |
| Keyword(1) | Bayesian Clustering |
| Keyword(2) | Genetic Algorithm |
| Keyword(3) | Optimization |
| Keyword(4) | Entropy |
| 1st Author's Name | Keiko AOKI |
| 1st Author's Affiliation | KDD R&D Laboratories Inc.() |
| 2nd Author's Name | Kazunori MATSUMOTO |
| 2nd Author's Affiliation | KDD R&D Laboratories Inc. |
| 3rd Author's Name | Keiichiro HOASHI |
| 3rd Author's Affiliation | KDD R&D Laboratories Inc. |
| 4th Author's Name | Kazuo HASHIMOTO |
| 4th Author's Affiliation | KDD R&D Laboratories Inc. |
| Date | 1999/5/27 |
| Paper # | AI99-8 |
| Volume (vol) | vol.99 |
| Number (no) | 95 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |